3D Visualization Analysis of Helicopter Rescue Range Based on Cat Boost Algorithm

Abstract

In the context of digital development of big data and information, the currently available aviation emergency rescue capability is not only incompatible with the national situation of frequent disasters, but also with the level of socio-economic development. This paper analyzes around the 3D visualization of helicopter rescue range based on Cat Boost algorithm. After using the big data technology combined with the typical model of complex terrain and the flight performance of the specified helicopter model, the 3D model of helicopter rescue is created in 3DSMAX, the model file is stored in the specified local directory, and the storage path is stored in the database to realize the construction and development of the 3D visualization model of helicopter rescue range. The results show that the highest elevation changes with the increase of algorithm training, and the range is 560m-750m. In the lowest elevation index, the lowest elevation changes with the increase of algorithm training, and the range is 350m-560m. The elevation difference is always maintained at about 210m, which is more favorable to helicopter rescue. This study can realize the rapid map according to the temporary flight task, which can effectively improve the preparation work before the helicopter flight, and then improve the rescue efficiency.